Dotan Horovits 🇮🇱🎗’s Post

Jorge Murillo presented our paper titled "CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks" at the ACM Symposium on Cloud Computing (ACM SoCC) earlier this week. The paper presents a spatial workload scheduling algorithm called CDN-Shifter for greening CDNs. Read it here: https://lnkd.in/eSxCU-Qh Walid Hanafy David Irwin Ramesh Sitaraman #cloudcomputing #decarbornization

Hot off the Press 🔥: 4 Key Trends Shaping the Observability Market! Check out this article by Krishna Yadappanavar, our CEO & Co-Founder, on The New Stack! 👉 Link here: https://lnkd.in/gU26eqUN #observability #trends #thenewstack #KubeCon #CloudNativeCon #CNCF Cloud Native Computing Foundation (CNCF)

4 Key Trends Shaping The Observability Market. 📈 Hear it from Krishna Yadappanavar in this new article published in The New Stack #observability #techtrends

𝐓𝐡𝐞 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 Great overview by Eric Flaningam of the current inference landscape. 💰 Lower compute costs are making inference more accessible, similar to how electricity costs shaped industries in the early 1900s. 🏢 A competitive landscape with software & hardware innovators 🏭 Shift toward Inference-as-a-Service, with hardware companies moving up the stack and into cloud services. Businesses have three main approaches to leverage inference effectively: 🔹 Foundation Model APIs 🔹 Cloud services providers 🔹 Inference hardware Much more here ➡️ https://lnkd.in/gbZzdPZn #AI #GenAI #LLM #MLLM #VLM #Cloud #Inference #FoundationalModel

If observability is key to your job and your business, take a few minutes to read about Key Trends Shaping the Observability Market

Exciting news! Tomorrow, I will be co-presenting with Kashif Islam at the MPLS SD & AI Net World Congress on our work towards GitOps automated multi-cloud. This marks the 3rd chapter in our cloud-native SRv6 journey, with previous chapters covering NaaS and virtually inline services using SRv6 and programmable proxies (2022) and massively simplified telco cloud connectivity (2023). Stay tuned as we are already working on the 4th chapter #TeamBell #SRv6 #MPLSSDAINetWorldCongress #Kubernetes #GitOps

A promising platform: Korifi by Cloud Foundry. If you want to ease & accelerate you Development to Production cycles using full K8s environment, this is probably the tool to closely follow. https://lnkd.in/eufcHZdp

Benefits of using CNCF Tools:  Scalability: Easily scale your GenAI system up or down based on your needs.  Reliability: Achieve high availability and fault tolerance through containerization and orchestration.  Portability: Run your GenAI system on any cloud platform or on-premises infrastructure that supports CNCF tools.  Observability: Gain deep insights into the behavior and performance of your GenAI system through monitoring and logging tools.

🤯 The CI/CD Observability article is the MOST VIEWED 1️⃣ in the entire Cloud Native Computing Foundation (CNCF) blog this past week 🤯 In fact, over X3 from the second place. And it only went up a day and a half ago! A special thanks to Adriel Perkins who co-authored the article with me. The interest and responses around the CNCF blog and my LinkedIn post yesterday are so encouraging, and I hope to see many more joining this journey. If you haven't yet, check it out, along with the due credits to all involved. 👉 https://lnkd.in/d4By2kVm #cicd #observability #opentelemetry #cloudnative #kubecon

Granite 3.0. IBM’s third-generation Granite flagship language models can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing strong performance, transparency and safety. The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage. The models are trained on over 10 trillion tokens of data, the Granite MoE models are ideal for deployment in on-device applications or situations requiring instantaneous inference. We’ve just published a step-by-step guide on How to deploy Granite MOE 1B and 3B in the Cloud? ✔Read more here: https://lnkd.in/gTFAfaWM #Aimodels #GraniteMoE #Opensource #Cloud